BF lark-im
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As a process F 33/100 · Will not run — References files that are not bundled: ../lark-shared/SKILL.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 1
✓ No critical or high findings
Medium and low: 1
-
low Secrets in code
secret-high-entropy-tokenreferences/lark-im-reactions.md:123High-entropy token-like string (may be an id, hash or a credential) (placeholder value)"page_token": "Yhlj…xxx"
placeholder
Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: ../lark-shared/SKILL.md - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 33/100
Will not run. References files that are not bundled: ../lark-shared/SKILL.md
- 0Tools and files. 1 referenced file(s) missing: ../lark-shared/SKILL.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 35 mutating operations with no state check
- 40Consistency. Frontmatter name (lark-im) differs from the folder (feishu-lark-cli)
- 55Failures and branches. 1 branches
- 100Steps. 27 steps
- 100Execution cost. Instruction body is 2181 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 93: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 16 headings
- +3Step-by-step instructions: 27 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (11 of 12)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.
External checks
ClawHub: clean
This is a coherent Lark/Feishu messaging skill, but it can read and change real chat data when authorized.
LLM: benign (high) · VirusTotal: · 29 May 2026